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Dataset supporting the University of Southampton Doctoral Thesis "The Role of Linguistic Input in Adult Grammars: Modelling L1 Morphosyntactic Attrition"
No full textDataset supporting the University of Southampton Doctoral Thesis "The Role of Linguistic Input in Adult Grammars: Modelling L1 Morphosyntactic Attrition".
The data includes Acceptability Judgment Task (AJT) results and linguistic background information for three groups of L1 German speakers residing in either the Netherlands, UK or Spain ('potential attriters'), a group of L1 German control participants, and three groups of 'L2 controls' (one Dutch, English, and Spanish).
This dataset contains:
Three datasets used for the statistical models and plots presented in the thesis.
1) Attritionmaindf – data frame containing L1 AJT data for potential attriters, L1 controls and L2 controls as well as the linguistic background data used in the L1 attrition models.
2) Attriteronlydf – data frame containing L1 AJT data for potential attriters only, their linguistic background data used in statistical modelling as well as additional background data presented in the tables in the thesis.
3) L2acquisitiondf – data frame containing L2 AJT data for potential attriters and L1 data for L2 controls as well as linguistic background data used in the L2 acquisition model
Licence:
CC-BY-NC
Related projects/Funders:
The PhD thesis and data collection was fully funded by the UKRI Economic and Social Research Council (ESRC) (Grant Number: ES/P000673/1).</span
The role of linguistic input in adult grammars: Modelling L1 morphosyntactic attrition
No full textTheoretically modelling L1 grammatical attrition – defined in this thesis as the modification of fully acquired L1 grammatical representations due to a significant and prolonged change to a speaker’s linguistic input – remains a considerable research challenge. This thesis seeks to contribute to the modelling of L1 grammatical (specifically morphosyntactic) attrition by investigating the role of linguistic input in this process. To this end, it tests a recent and hitherto untested Minimalist model of grammatical attrition in which input plays a key role: The Attrition via Acquisition Model (Hicks and Domínguez, 2020a, 2020b). In the model, the possibility of attrition is determined by the availability of intake (defined as processed input) and the potential for Feature Reassembly (FR) of a previously acquired L1 structure. Two broad predictions are derived from the model’s assumptions and architecture. Firstly, attrition is in principle only possible for an L1 structure which has an analogous/equivalent L2 form which nonetheless differs in its behaviour due to differences in the respective L1–L2 functional feature specifications. Secondly, attrition is facilitated in linguistic environments in which the L2 is holistically more similar (i.e., in terms of morphosyntax, semantics, phonology, phonetics, and lexis) to the L1. To further develop the predictive power of the model, this thesis also formulates and tests the novel hypothesis that attrition is further facilitated for L1 structures which would need to undergo less complex FR to match a corresponding L2 structure due to greater overlap in the relevant L1–L2 feature specifications (in other words, this predicts that structural similarity at the level of individual morphosyntactic structures modulates the likelihood of attrition). Three groups of L1 German late-sequential bilingual speakers of either Dutch, English or Spanish are tested. These participants (n=85) have at least 15 years of residence, starting in adulthood, in either the Netherlands, UK or Spain. As well as a native German control group (n=44), this study also uses three further control groups consisting of native speakers of Dutch, English or Spanish (n=94). Two grammatical structures, which are argued to differ in the relative complexity of FR required for them to attrite in the L1, are investigated per L1–L2 pairing. Grammatical properties are tested by means of bimodal Acceptability Judgement Tasks (AJTs). There is a German and equivalent L2 version of each task. Potential attriters completed both an L1 and L2 version of the relevant AJTs. As such this is the first study to compare attrition of the same L1 under the influence of three holistically different L2 inputs and to investigate the role of FR complexity in attrition. This study also adds to the very small number of attrition studies which test potential attriters in their L2 as well as their L1 in order to further investigate the relationship between L2 acquisition and L1 attrition. Though results from a series of Culminative Link mixed effects models reveal no significant group-level attrition, attrition is found for a number of individual participants on five out of the six properties tested. Comparison of these individual results within and across the three L1–L2 groups does not suggest that either L1–L2 holistically similarity nor L1–L2 structural similarity – at least as formulated in this thesis – modulate the likelihood of grammatical attrition. The L2 acquisition results of these participants are very varied and indicate a rather complex relationship between L2 acquisition and L1 grammatical attrition. In light of these findings, some modifications to the Attrition via Acquisition model are proposed
Alien Registration- Baker, Lewis A. (Van Buren, Aroostook County)
Full text linkhttps://digitalmaine.com/alien_docs/33303/thumbnail.jp
Null and overt pronoun interpretation in L2 Mandarin resultative constructions
No full textThis experimental study examines the acquisition of null and overt pronoun interpretations in Chinese as a second language by native speakers of English. A linguistic phenomenon not present in the native language of the learners is identified: the null element in the embedded subject position of Mandarin resultative constructions can only refer to the main-clause subject, while an overt pronoun in the same position can refer both to the main-clause subject and to another entity in the discourse. Thus the acquisition task includes learning a new functional morpheme, a null element, as well as constraining its interpretation in the resultative construction. We tested 59 L2 learners of Chinese at different proficiency levels and 51 native Mandarin speakers on a truth value judgment task. The learners showed a pattern of interpretation that was statistically indistinguishable from the native speakers’ in all but one context. We argue that our findings point to largely successful acquisition of the requisite proform interpretations, even though the restrictions on the interpretation of null elements cannot be transferred from the native language
Going Beyond Counting First Authors in Author Co-citation Analysis
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are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
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Appropriate Similarity Measures for Author Cocitation Analysis
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Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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